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bump version to v1.13.1 (#2613)
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‎CMakeLists.txt

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endif ()
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cmake_minimum_required(VERSION 3.14)
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project(MMDeploy VERSION 1.3.0)
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project(MMDeploy VERSION 1.3.1)
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set(CMAKE_CXX_STANDARD 17)
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‎csrc/mmdeploy/apis/csharp/README.md

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(*option 1*) Use the command.
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If your environment is well prepared, you can just go to the `csrc\apis\csharp` folder, open a terminal and type the following command, the nupkg will be built in `csrc\apis\csharp\MMDeploy\bin\Release\MMDeployCSharp.1.3.0.nupkg`.
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If your environment is well prepared, you can just go to the `csrc\apis\csharp` folder, open a terminal and type the following command, the nupkg will be built in `csrc\apis\csharp\MMDeploy\bin\Release\MMDeployCSharp.1.3.1.nupkg`.
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```shell
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dotnet build --configuration Release -p:Version=1.3.0
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dotnet build --configuration Release -p:Version=1.3.1
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```
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(*option 2*) Open MMDeploy.sln && Build.
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You can set the package-version through `Properties -> Package Version`. The default version is 1.3.0 if you don't set it.
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You can set the package-version through `Properties -> Package Version`. The default version is 1.3.1 if you don't set it.
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If you encounter missing dependencies, follow the instructions for MSVC.

‎demo/csharp/image_classification/image_classification.csproj

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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="MMDeployCSharp" Version="1.3.0" />
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<PackageReference Include="MMDeployCSharp" Version="1.3.1" />
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<PackageReference Include="OpenCvSharp4" Version="4.5.5.20211231" />
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<PackageReference Include="OpenCvSharp4.Extensions" Version="4.5.5.20211231" />
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<PackageReference Include="OpenCvSharp4.runtime.win" Version="4.5.5.20211231" />

‎demo/csharp/image_restorer/image_restorer.csproj

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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="MMDeployCSharp" Version="1.3.0" />
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<PackageReference Include="MMDeployCSharp" Version="1.3.1" />
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<PackageReference Include="OpenCvSharp4" Version="4.5.5.20211231" />
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<PackageReference Include="OpenCvSharp4.runtime.win" Version="4.5.5.20211231" />
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</ItemGroup>

‎demo/csharp/image_segmentation/image_segmentation.csproj

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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="MMDeployCSharp" Version="1.3.0" />
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<PackageReference Include="MMDeployCSharp" Version="1.3.1" />
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<PackageReference Include="OpenCvSharp4" Version="4.5.5.20211231" />
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<PackageReference Include="OpenCvSharp4.runtime.win" Version="4.5.5.20211231" />
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</ItemGroup>

‎demo/csharp/object_detection/object_detection.csproj

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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="MMDeployCSharp" Version="1.3.0" />
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<PackageReference Include="MMDeployCSharp" Version="1.3.1" />
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<PackageReference Include="OpenCvSharp4" Version="4.5.5.20211231" />
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<PackageReference Include="OpenCvSharp4.runtime.win" Version="4.5.5.20211231" />
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</ItemGroup>

‎demo/csharp/ocr_detection/ocr_detection.csproj

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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="MMDeployCSharp" Version="1.3.0" />
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<PackageReference Include="MMDeployCSharp" Version="1.3.1" />
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<PackageReference Include="OpenCvSharp4" Version="4.5.5.20211231" />
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<PackageReference Include="OpenCvSharp4.runtime.win" Version="4.5.5.20211231" />
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</ItemGroup>

‎demo/csharp/ocr_recognition/ocr_recognition.csproj

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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="MMDeployCSharp" Version="1.3.0" />
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<PackageReference Include="MMDeployCSharp" Version="1.3.1" />
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<PackageReference Include="OpenCvSharp4" Version="4.5.5.20211231" />
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<PackageReference Include="OpenCvSharp4.runtime.win" Version="4.5.5.20211231" />
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</ItemGroup>

‎demo/csharp/pose_detection/pose_detection.csproj

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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="MMDeployCSharp" Version="1.3.0" />
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<PackageReference Include="MMDeployCSharp" Version="1.3.1" />
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<PackageReference Include="OpenCvSharp4" Version="4.5.5.20211231" />
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<PackageReference Include="OpenCvSharp4.runtime.win" Version="4.5.5.20211231" />
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</ItemGroup>

‎docs/en/02-how-to-run/prebuilt_package_windows.md

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______________________________________________________________________
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This tutorial takes `mmdeploy-1.3.0-windows-amd64.zip` and `mmdeploy-1.3.0-windows-amd64-cuda11.8.zip` as examples to show how to use the prebuilt packages. The former support onnxruntime cpu inference, the latter support onnxruntime-gpu and tensorrt inference.
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This tutorial takes `mmdeploy-1.3.1-windows-amd64.zip` and `mmdeploy-1.3.1-windows-amd64-cuda11.8.zip` as examples to show how to use the prebuilt packages. The former support onnxruntime cpu inference, the latter support onnxruntime-gpu and tensorrt inference.
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The directory structure of the prebuilt package is as follows, where the `dist` folder is about model converter, and the `sdk` folder is related to model inference.
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5. Install `mmdeploy` (Model Converter) and `mmdeploy_runtime` (SDK Python API).
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```bash
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pip install mmdeploy==1.3.0
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pip install mmdeploy-runtime==1.3.0
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pip install mmdeploy==1.3.1
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pip install mmdeploy-runtime==1.3.1
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```
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:point_right: If you have installed it before, please uninstall it first.
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![sys-path](https://user-images.githubusercontent.com/16019484/181463801-1d7814a8-b256-46e9-86f2-c08de0bc150b.png)
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:exclamation: Restart powershell to make the environment variables setting take effect. You can check whether the settings are in effect by `echo $env:PATH`.
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8. Download SDK C/cpp Library mmdeploy-1.3.0-windows-amd64.zip
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8. Download SDK C/cpp Library mmdeploy-1.3.1-windows-amd64.zip
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### TensorRT
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5. Install `mmdeploy` (Model Converter) and `mmdeploy_runtime` (SDK Python API).
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```bash
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pip install mmdeploy==1.3.0
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pip install mmdeploy-runtime-gpu==1.3.0
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pip install mmdeploy==1.3.1
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pip install mmdeploy-runtime-gpu==1.3.1
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```
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:point_right: If you have installed it before, please uninstall it first.
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7. Install pycuda by `pip install pycuda`
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8. Download SDK C/cpp Library mmdeploy-1.3.0-windows-amd64-cuda11.8.zip
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8. Download SDK C/cpp Library mmdeploy-1.3.1-windows-amd64-cuda11.8.zip
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## Model Convert
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```
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..
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|-- mmdeploy-1.3.0-windows-amd64
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|-- mmdeploy-1.3.1-windows-amd64
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|-- mmpretrain
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|-- mmdeploy
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`-- resnet18_8xb32_in1k_20210831-fbbb1da6.pth
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|-- mmdeploy-1.3.1-windows-amd64-cuda11.8
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```
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|-- mmdeploy-1.3.1-windows-amd64
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|-- mmdeploy-1.3.1-windows-amd64-cuda11.8
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|-- mmpretrain
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|-- mmdeploy
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|-- resnet18_8xb32_in1k_20210831-fbbb1da6.pth
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It is recommended to use `CMD` here.
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Under `mmdeploy-1.3.0-windows-amd64\\example\\cpp\\build\\Release` directory：
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Under `mmdeploy-1.3.1-windows-amd64\\example\\cpp\\build\\Release` directory：
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```
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Under `mmdeploy-1.3.0-windows-amd64-cuda11.8\\example\\cpp\\build\\Release` directory
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Under `mmdeploy-1.3.1-windows-amd64-cuda11.8\\example\\cpp\\build\\Release` directory
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```
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.\image_classification.exe cuda C:\workspace\work_dir\trt\resnet C:\workspace\mmpretrain\demo\demo.JPEG

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